Job Summary
A company is looking for an Artificial Intelligence Engineer with an emphasis in Multi-Modal systems.
Key Responsibilities:
- Research, design, and implement advanced machine learning models that combine vision, RF, and acoustic signals for detection, classification, and tracking tasks
- Architect sensor fusion pipelines that support robust, redundant, and context-aware perception in dynamic environments
- Collaborate closely with domain experts and systems engineers to translate raw sensor data into actionable model inputs
Qualifications:
- PhD or Master's degree in Machine Learning, Computer Vision, Signal Processing, or a closely related field
- 7+ years of experience building and deploying machine learning systems, with a focus on multi-modal or sensor fusion applications
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Demonstrated experience working with camera imagery, RF signals, and/or acoustic data
- Deep understanding of signal alignment, temporal/spatial synchronization, and feature extraction across diverse data types